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Record W4390889587 · doi:10.1016/j.jbc.2024.105647

Dirigent isoflavene-forming PsPTS2: 3D structure, stereochemical, and kinetic characterization comparison with pterocarpan-forming PsPTS1 homolog in pea

2024· article· en· W4390889587 on OpenAlexfundno aff
Qingyan Meng, Syed Moinuddin, Rhodesia M. Celoy, Clyde A. Smith, Robert Young, Michael A. Costa, Rachel A. Freeman, Masashi Fukaya, Doo Nam Kim, John Cort, Martha C. Hawes, H. D. Van Etten, Pankaj Pandey, Amar G. Chittiboyina, Daneel Ferreira, Laurence Davin, Norman Lewis

Bibliographic record

VenueJournal of Biological Chemistry · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicNitrogen and Sulfur Effects on Brassica
Canadian institutionsnot available
FundersCity of VancouverSLAC National Accelerator LaboratoryNational Institute of General Medical SciencesTarim UniversityUniversity of ToledoNational Institutes of HealthWashington State Department of Natural ResourcesNational Institute of Food and AgricultureChemical Sciences, Geosciences, and Biosciences DivisionNational Science FoundationUniversity of WashingtonOffice of ScienceBiological and Environmental ResearchWashington State UniversityBasic Energy SciencesU.S. Department of AgricultureU.S. Department of Energy
KeywordsCharacterization (materials science)StereochemistryChemistryMaterials scienceNanotechnology

Abstract

fetched live from OpenAlex

Pea phytoalexins (–)-maackiain and (+)-pisatin have opposite C6a/C11a configurations, but biosynthetically how this occurs is unknown. Pea dirigent-protein (DP) PsPTS2 generates 7,2ʹ-dihydroxy-4ʹ,5ʹ-methylenedioxyisoflav-3-ene (DMDIF), and stereoselectivity towards four possible 7,2ʹ-dihydroxy-4ʹ,5ʹ-methylenedioxyisoflavan-4-ol (DMDI) stereoisomers was investigated. Stereoisomer configurations were determined using NMR spectroscopy, electronic circular dichroism, and molecular orbital analyses. PsPTS2 efficiently converted cis -(3 R, 4 R )-DMDI into DMDIF 20-fold faster than the trans -(3 R ,4 S )-isomer. The 4 R -configured substrate's near β-axial OH orientation significantly enhanced its leaving group abilities in generating A-ring mono-quinone methide (QM), whereas 4 S -isomer's α-equatorial-OH was a poorer leaving group. Docking simulations indicated that the 4 R -configured β-axial OH was closest to Asp 51 , whereas 4 S -isomer's α-equatorial OH was further away. Neither cis -(3 S ,4 S )- nor trans -(3 S ,4 R )-DMDIs were substrates, even with the former having C3/C4 stereochemistry as in (+)-pisatin. PsPTS2 used cis -(3 R, 4 R )-7,2′-dihydroxy-4′-methoxyisoflavan-4-ol [ cis -(3 R, 4 R )-DMI] and C3/C4 stereoisomers to give 2ʹ,7-dihydroxy-4ʹ-methoxyisoflav-3-ene (DMIF). DP homologs may exist in licorice ( Glycyrrhiza pallidiflora ) and tree legume Bolusanthus speciosus, as DMIF occurs in both species. PsPTS1 utilized cis -(3 R, 4 R )-DMDI to give (–)-maackiain 2200-fold more efficiently than with cis -(3 R ,4 R )-DMI. PsPTS1 also slowly converted trans -(3 S ,4 R )-DMDI into (+)-maackiain, reflecting the better 4 R configured OH leaving group. PsPTS2 and PsPTS1 provisionally provide the means to enable differing C6a and C11a configurations in (+)-pisatin and (–)-maackiain, via identical DP-engendered mono-QM bound intermediate generation, which PsPTS2 either re-aromatizes to give DMDIF or PsPTS1 intramolecularly cyclizes to afford (–)-maackiain. Substrate docking simulations using PsPTS2 and PsPTS1 indicate cis -(3 R, 4 R )-DMDI binds in the anti -configuration in PsPTS2 to afford DMDIF, and the syn -configuration in PsPTS1 to give maackiain.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.011
GPT teacher head0.251
Teacher spread0.240 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2024
Admission routes1
Has abstractyes

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Same venueJournal of Biological ChemistrySame topicNitrogen and Sulfur Effects on BrassicaFrench-language works237,207